L3 fragmented source

Anonymized tweets - Urban data résilience in Teheran

Name: Anonymized tweets - Urban data résilience in Teheran
Creator: mendeley.com
License: Creative Commons Attribution (CC BY 4.0)

This dataset contains the anonymized tweet records and the complete Python analysis pipeline used in the study “Citizens, Safety, and Social Media: Leveraging Sentiment Analysis for Urban Resilience Governance in Tehran (2015–2024).” The shared data and code enable researchers to fully reproduce the sentiment analysis, temporal trend computation, and topic modeling procedures.

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Publishermendeley.com

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LicenseCreative Commons Attribution (CC BY 4.0)

Updated2026-06-26

urban resilience data science linear discriminant analysis sentiment analysis social media analytics

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SCF references this maintained metadata instead of duplicating it.

Canonical URL: data.mendeley.com/datasets/z9hyfgmw3w/1
Storage policy: hybrid minimal

Free to useNo account neededStructured data

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Topics

Data ScienceLinear Discriminant AnalysisBuilding Safety Risk Assessment

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Legal & licence

Access Rights: Public
Conforms To: DCAT-3SourceCommons-SCF-0.1

Coverage

Temporal: 2015-01-01 to 2024-01-01
Wikidata Main Topics: urban resilience (Q7900159)data science (Q2374463)linear discriminant analysis (Q1228929)sentiment analysis (Q2271421)social media analytics (Q1140126)

Identifiers & provenance

Identifier: 10.17632/z9hyfgmw3w.1
Wikidata Id: Q2271421

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